真实案例研究600m3泡柱发酵:空间解析模拟揭示了用大肠杆菌对l-phenylalanine生产的优化潜力
Yannic Mast1, Adel Ghaderi2, Ralf Takors1
1Institute of Biochemical Engineering, University of Stuttgart, Stuttgart, Germany.
Biotechnology and bioengineering
|October 25, 2024
概括
大型泡柱的模拟显示了影响微生物生产的度梯度. 使用先进的计算流体动力学 (CFD) 优化料策略,提高了超过6%的l-phenylalanine合成.
科学领域:
- 生物技术是生物技术.
- 化学工程是化学工程的重要组成部分.
- 微生物生产 微生物生产
背景情况:
- 大规模发酵面临着影响微生物活动和产量的度梯度带来的挑战.
- 模拟这些复杂的情景在silico对于优化生物生产至关重要,但很少用于大型泡柱.
研究的目的:
- 开创基于大肠杆菌的l-phenylalanine料批量生产中使用的600m3泡柱的空间分辨率模拟.
- 研究水力动力学,质量转移和微生物动力学对大规模生物过程的影响.
- 评估替代料设计对优化生物反应器性能的有效性.
主要方法:
- 利用了先进的欧勒-拉格朗日 (EL) 计算流体动力学 (CFD) 模拟,使用了一种新的泡破裂模型.
- 从对大肠杆菌的实验数据中推导出微生物动力学.
- 在大型泡柱中模拟水力动力学,质量转移和微生物活动.
主要成果:
- 确定了不同的区域 (上升,下降,循环细胞),主导混合和质量转移.
- 在生物反应器中观察到葡萄糖,溶解氧和微生物速率的复杂梯度.
- 证明优化料策略可以提高产品合成6.24%和增长率11.05%.
结论:
- 具有空间分辨率的CFD模拟是理解和优化大型生物反应堆的有效工具.
- 优化的料设计可以显著提高微生物的生产性能在泡泡列发酵.
- 这种方法为工业生物工艺的in silico优化提供了一条途径.
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